-----------------------------------------------------------------------------------------------------------------------
       log:  Z:\interactionmodels\replication\electoralparties_replication.log
  log type:  text
 opened on:  10 Jan 2007, 19:59:37

. *     ***************************************************************** *;
. *     ***************************************************************** *;
. *       File-Name:      electoralparties_replication.do                 *;
. *       Date:           01/09/2007                                      *;
. *       Author:         MRG                                             *;
. *       Purpose:        Replicate Mozaffar et al. 2003, table 1         *;
. *       Input File:     STATA_mozaffar.dta                              *;
. *       Output File:    electoralparties_replication.log                *;
. *       Data Output:    none                                            *;
. *       Previous file:                                                  *;
. *       Machine:                                                        *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. set mem 10m;
(10240k)

. use getdata\STATA_mozaffar.dta;

. *     ****************************************************************  *;
. *           Summary Statistics                                          *;
. *     ****************************************************************  *;
. sum;

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
     country |         0
    year_nyu |        62    1994.081    3.930955       1980       2000
dictator_nyu |        62    .5645161    .4998678          0          1
 elecparties |        62    3.234355    2.699867        1.4       14.9
  legparties |        62    2.340323    1.505894          1        8.8
-------------+--------------------------------------------------------
avemagnitude |        62    32.27841    79.64036          1        400
    logmag10 |        62    .7030161    .7668696          0      2.602
   proximity |        62    .6246774    .4255131          0          1
prescandid~e |        62    2.254839    1.489931          0        7.3
prox_presc~e |        62    1.442323    1.177821          0        4.6
-------------+--------------------------------------------------------
fragmentat~n |        62    4.382419     2.74622          1       9.91
fragmentat~2 |        62    26.62613    28.37423          1      98.21
concentrat~n |        62    1.597258     .963064          0       3.24
   frag_conc |        62    8.193395    6.824679          0    25.4664
  frag2_conc |        62    51.16194    59.53712          0     208.42
-------------+--------------------------------------------------------
logma~2_conc |        62    35.26274    67.12064          0     265.65
         elf |        56      .62625    .2404281          0        .93
       pregb |        62    .4206452     .281692          0        .82
logmag10_elf |        62    .4194211     .602451          0   2.289813
pregb_log~10 |        62    .3253567    .5026586          0   2.003586
-------------+--------------------------------------------------------
      logmag |        62    1.618844      1.7659          0   5.991465
logmag10_c~c |        62    1.173279    1.538905          0    5.31634
logmag10_f~g |        62    3.356764    5.352396          0   20.52978
~0_frag_conc |        62    5.672118    8.517053          0   33.66884
 logmag_conc |        62    2.701537    3.543544          0   12.24354
-------------+--------------------------------------------------------
 logmag_frag |        62    7.729645    12.32561          0   47.27266
logmag_fra~c |        62     13.0607    19.61213          0   77.52715

. *     ****************************************************************  *;
. *       First, try to replicate Model 1 in Table 1, page 386.           *;
. *     ****************************************************************  *;
. regress  elecparties logmag10 proximity prox_prescandidate;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  3,    58) =    4.75
       Model |  87.6323954     3  29.2107985           Prob > F      =  0.0050
    Residual |  357.013938    58  6.15541272           R-squared     =  0.1971
-------------+------------------------------           Adj R-squared =  0.1556
       Total |  444.646333    61  7.28928415           Root MSE      =   2.481

------------------------------------------------------------------------------
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    logmag10 |  -.2376563    .421563    -0.56   0.575    -1.081506    .6061938
   proximity |  -4.554452   1.238458    -3.68   0.001    -7.033496   -2.075408
prox_presc~e |   1.475975   .4489814     3.29   0.002     .5772414    2.374709
       _cons |   4.117662   .6778119     6.07   0.000     2.760874     5.47445
------------------------------------------------------------------------------

. regress  elecparties logmag proximity prox_prescandidate;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  3,    58) =    4.75
       Model |  87.6335085     3  29.2111695           Prob > F      =  0.0050
    Residual |  357.012825    58  6.15539353           R-squared     =  0.1971
-------------+------------------------------           Adj R-squared =  0.1556
       Total |  444.646333    61  7.28928415           Root MSE      =   2.481

------------------------------------------------------------------------------
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      logmag |  -.1032354   .1830702    -0.56   0.575    -.4696901    .2632194
   proximity |  -4.554461   1.238457    -3.68   0.001    -7.033502   -2.075421
prox_presc~e |    1.47597   .4489806     3.29   0.002     .5772372    2.374702
       _cons |   4.117722   .6778104     6.08   0.000     2.760937    5.474507
------------------------------------------------------------------------------

. regress  elecparties logmag10 proximity prox_prescandidate, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  3,    58) =    3.56
                                                       Prob > F      =  0.0196
                                                       R-squared     =  0.1971
                                                       Root MSE      =   2.481

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    logmag10 |  -.2376563   .3265431    -0.73   0.470    -.8913033    .4159907
   proximity |  -4.554452   1.435919    -3.17   0.002    -7.428755   -1.680148
prox_presc~e |   1.475975   .4840426     3.05   0.003     .5070588    2.444892
       _cons |   4.117662   .9155262     4.50   0.000     2.285037    5.950287
------------------------------------------------------------------------------

. regress  elecparties logmag proximity prox_prescandidate, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  3,    58) =    3.56
                                                       Prob > F      =  0.0196
                                                       R-squared     =  0.1971
                                                       Root MSE      =   2.481

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      logmag |  -.1032354   .1418053    -0.73   0.470    -.3870894    .1806187
   proximity |  -4.554461    1.43592    -3.17   0.002    -7.428767   -1.680156
prox_presc~e |    1.47597   .4840416     3.05   0.003     .5070551    2.444884
       _cons |   4.117722   .9155426     4.50   0.000     2.285064    5.950379
------------------------------------------------------------------------------

. *     ****************************************************************  *;
. *       Neither of these work                                           *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *       Model 2                                                         *;
. *     ****************************************************************  *;
. regress elecparties fragmentation concentration frag_conc;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  3,    58) =    8.37
       Model |  134.285362     3  44.7617872           Prob > F      =  0.0001
    Residual |  310.360972    58  5.35105123           R-squared     =  0.3020
-------------+------------------------------           Adj R-squared =  0.2659
       Total |  444.646333    61  7.28928415           Root MSE      =  2.3132

------------------------------------------------------------------------------
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
fragmentat~n |  -.6940018   .2132093    -3.26   0.002    -1.120787   -.2672171
concentrat~n |  -.3492676   .5162728    -0.68   0.501      -1.3827    .6841648
   frag_conc |   .4293546   .1152362     3.73   0.000     .1986842     .660025
       _cons |   3.315761   .7714293     4.30   0.000     1.771577    4.859944
------------------------------------------------------------------------------

. regress elecparties fragmentation concentration frag_conc, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  3,    58) =    4.41
                                                       Prob > F      =  0.0073
                                                       R-squared     =  0.3020
                                                       Root MSE      =  2.3132

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
fragmentat~n |  -.6940018   .2211557    -3.14   0.003    -1.136693   -.2513107
concentrat~n |  -.3492676   .5624921    -0.62   0.537    -1.475218    .7766828
   frag_conc |   .4293546   .1619854     2.65   0.010     .1051057    .7536035
       _cons |   3.315761   .3654954     9.07   0.000     2.584142    4.047379
------------------------------------------------------------------------------

. regress elecparties fragmentation2 concentration frag_conc;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  3,    58) =    5.89
       Model |  103.826825     3  34.6089417           Prob > F      =  0.0014
    Residual |  340.819508    58  5.87619841           R-squared     =  0.2335
-------------+------------------------------           Adj R-squared =  0.1939
       Total |  444.646333    61  7.28928415           Root MSE      =  2.4241

------------------------------------------------------------------------------
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
fragmentat~2 |  -.0432388   .0204628    -2.11   0.039    -.0841996    -.002278
concentrat~n |  -.3378812   .5943925    -0.57   0.572    -1.527687    .8519246
   frag_conc |   .3333853   .1217846     2.74   0.008     .0896069    .5771637
       _cons |   2.193763   .6561135     3.34   0.001     .8804094    3.507117
------------------------------------------------------------------------------

. regress elecparties fragmentation2 concentration frag_conc, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  3,    58) =    3.71
                                                       Prob > F      =  0.0164
                                                       R-squared     =  0.2335
                                                       Root MSE      =  2.4241

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
fragmentat~2 |  -.0432388    .019765    -2.19   0.033    -.0828027   -.0036749
concentrat~n |  -.3378812    .743268    -0.45   0.651    -1.825694    1.149931
   frag_conc |   .3333853   .1915644     1.74   0.087    -.0500725    .7168431
       _cons |   2.193763   .2007459    10.93   0.000     1.791927      2.5956
------------------------------------------------------------------------------

. regress elecparties fragmentation2 concentration frag2_conc;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  3,    58) =    8.54
       Model |  136.204743     3  45.4015808           Prob > F      =  0.0001
    Residual |  308.441591    58  5.31795846           R-squared     =  0.3063
-------------+------------------------------           Adj R-squared =  0.2704
       Total |  444.646333    61  7.28928415           Root MSE      =  2.3061

------------------------------------------------------------------------------
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
fragmentat~2 |  -.0669476   .0214767    -3.12   0.003     -.109938   -.0239572
concentrat~n |   .1474626   .3936206     0.37   0.709    -.6404547    .9353798
  frag2_conc |   .0441266   .0116409     3.79   0.000     .0208247    .0674284
       _cons |   2.523775   .6370146     3.96   0.000     1.248652    3.798898
------------------------------------------------------------------------------

. regress elecparties fragmentation2 concentration frag2_conc, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  3,    58) =    4.50
                                                       Prob > F      =  0.0066
                                                       R-squared     =  0.3063
                                                       Root MSE      =  2.3061

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
fragmentat~2 |  -.0669476   .0224225    -2.99   0.004     -.111831   -.0220642
concentrat~n |   .1474626   .2913227     0.51   0.615    -.4356831    .7306083
  frag2_conc |   .0441266   .0156805     2.81   0.007     .0127386    .0755145
       _cons |   2.523775   .2135138    11.82   0.000      2.09638    2.951169
------------------------------------------------------------------------------

. regress elecparties fragmentation fragmentation2 concentration frag2_conc, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  4,    57) =    3.69
                                                       Prob > F      =  0.0096
                                                       R-squared     =  0.3598
                                                       Root MSE      =  2.2347

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
fragmentat~n |  -1.149774   .8327331    -1.38   0.173    -2.817293    .5177452
fragmentat~2 |   .0409543   .0782355     0.52   0.603    -.1157096    .1976183
concentrat~n |   .7635936   .7012381     1.09   0.281    -.6406116    2.167799
  frag2_conc |    .040234   .0159676     2.52   0.015     .0082594    .0722087
       _cons |   3.904584   1.070125     3.65   0.001     1.761695    6.047473
------------------------------------------------------------------------------

. regress elecparties fragmentation fragmentation2 concentration frag_conc, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  4,    57) =    3.78
                                                       Prob > F      =  0.0086
                                                       R-squared     =  0.3497
                                                       Root MSE      =  2.2522

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
fragmentat~n |   -1.69104   .7853143    -2.15   0.036    -3.263605    -.118475
fragmentat~2 |   .0992522   .0711515     1.39   0.168    -.0432263    .2417306
concentrat~n |   .2524271   .9101418     0.28   0.783      -1.5701    2.074955
   frag_conc |   .3848035   .1663154     2.31   0.024     .0517627    .7178444
       _cons |   4.446461   .9850404     4.51   0.000     2.473952     6.41897
------------------------------------------------------------------------------

. *     ****************************************************************  *;
. *       Could not replicate either, but closest one was with            *;
. *       fragmentation2 and frag2_conc.                                  *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *       Model 3                                                         *;
. *     ****************************************************************  *;
. regress elecparties logmag10 proximity prox_prescandidate fragmentation concentration frag_conc;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  6,    55) =    6.17
       Model |  178.844996     6  29.8074994           Prob > F      =  0.0001
    Residual |  265.801337    55  4.83275158           R-squared     =  0.4022
-------------+------------------------------           Adj R-squared =  0.3370
       Total |  444.646333    61  7.28928415           Root MSE      =  2.1984

------------------------------------------------------------------------------
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    logmag10 |   .1298363   .4077031     0.32   0.751    -.6872191    .9468916
   proximity |  -3.383122   1.133317    -2.99   0.004    -5.654341   -1.111904
prox_presc~e |   1.009484   .4176032     2.42   0.019     .1725886     1.84638
fragmentat~n |  -.6194723   .2220189    -2.79   0.007    -1.064408   -.1745364
concentrat~n |  -.4272862    .517294    -0.83   0.412    -1.463967    .6093943
   frag_conc |   .3933261   .1189158     3.31   0.002     .1550135    .6316388
       _cons |   3.975034   .8090942     4.91   0.000     2.353572    5.596495
------------------------------------------------------------------------------

. regress elecparties logmag10 proximity prox_prescandidate fragmentation concentration frag_conc, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    3.40
                                                       Prob > F      =  0.0063
                                                       R-squared     =  0.4022
                                                       Root MSE      =  2.1984

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    logmag10 |   .1298363   .4855604     0.27   0.790    -.8432486    1.102921
   proximity |  -3.383122   1.267316    -2.67   0.010    -5.922881   -.8433636
prox_presc~e |   1.009484   .3276172     3.08   0.003     .3529246    1.666044
fragmentat~n |  -.6194723   .2490259    -2.49   0.016    -1.118531   -.1204132
concentrat~n |  -.4272862   .7109364    -0.60   0.550    -1.852034    .9974622
   frag_conc |   .3933261   .1913338     2.06   0.045     .0098845    .7767677
       _cons |   3.975034   .7354829     5.40   0.000     2.501093    5.448974
------------------------------------------------------------------------------

. regress elecparties logmag proximity prox_prescandidate fragmentation concentration frag_conc;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  6,    55) =    6.17
       Model |  178.845252     6   29.807542           Prob > F      =  0.0001
    Residual |  265.801081    55  4.83274693           R-squared     =  0.4022
-------------+------------------------------           Adj R-squared =  0.3370
       Total |  444.646333    61  7.28928415           Root MSE      =  2.1984

------------------------------------------------------------------------------
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      logmag |   .0563973   .1770486     0.32   0.751    -.2984161    .4112106
   proximity |  -3.383105   1.133319    -2.99   0.004    -5.654327   -1.111883
prox_presc~e |   1.009482   .4176018     2.42   0.019     .1725891    1.846375
fragmentat~n |  -.6194798   .2220194    -2.79   0.007    -1.064417   -.1745429
concentrat~n |  -.4272803   .5172761    -0.83   0.412    -1.463925    .6093641
   frag_conc |   .3933287   .1189146     3.31   0.002     .1550185    .6316389
       _cons |   3.975007   .8091018     4.91   0.000     2.353531    5.596483
------------------------------------------------------------------------------

. regress elecparties logmag proximity prox_prescandidate fragmentation concentration frag_conc, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    3.40
                                                       Prob > F      =  0.0063
                                                       R-squared     =  0.4022
                                                       Root MSE      =  2.1984

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      logmag |   .0563973   .2108442     0.27   0.790    -.3661441    .4789386
   proximity |  -3.383105   1.267334    -2.67   0.010    -5.922899   -.8433112
prox_presc~e |   1.009482   .3276237     3.08   0.003     .3529094    1.666054
fragmentat~n |  -.6194798   .2490217    -2.49   0.016     -1.11853   -.1204292
concentrat~n |  -.4272803   .7108618    -0.60   0.550    -1.851879    .9973187
   frag_conc |   .3933287   .1913272     2.06   0.045     .0099004    .7767571
       _cons |   3.975007   .7355092     5.40   0.000     2.501013       5.449
------------------------------------------------------------------------------

. regress elecparties logmag10 proximity prox_prescandidate fragmentation2 concentration frag_conc;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  6,    55) =    5.07
       Model |  158.258019     6  26.3763366           Prob > F      =  0.0003
    Residual |  286.388314    55  5.20706025           R-squared     =  0.3559
-------------+------------------------------           Adj R-squared =  0.2857
       Total |  444.646333    61  7.28928415           Root MSE      =  2.2819

------------------------------------------------------------------------------
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    logmag10 |   .0217642   .4303055     0.05   0.960    -.8405874    .8841157
   proximity |  -3.738382   1.163222    -3.21   0.002    -6.069531   -1.407234
prox_presc~e |   1.048505   .4330362     2.42   0.019     .1806815    1.916329
fragmentat~2 |  -.0384321   .0212472    -1.81   0.076    -.0810124    .0041482
concentrat~n |  -.4015231   .6012018    -0.67   0.507    -1.606358    .8033122
   frag_conc |   .3059554   .1256693     2.43   0.018     .0541084    .5578023
       _cons |   3.199876   .7636289     4.19   0.000     1.669529    4.730222
------------------------------------------------------------------------------

. regress elecparties logmag10 proximity prox_prescandidate fragmentation2 concentration frag_conc, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    2.86
                                                       Prob > F      =  0.0169
                                                       R-squared     =  0.3559
                                                       Root MSE      =  2.2819

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    logmag10 |   .0217642   .5907776     0.04   0.971    -1.162181    1.205709
   proximity |  -3.738382   1.337546    -2.79   0.007    -6.418884    -1.05788
prox_presc~e |   1.048505   .3521812     2.98   0.004     .3427186    1.754292
fragmentat~2 |  -.0384321   .0285062    -1.35   0.183    -.0955599    .0186957
concentrat~n |  -.4015231   .9689438    -0.41   0.680     -2.34333    1.540284
   frag_conc |   .3059554   .2364987     1.29   0.201    -.1679987    .7799094
       _cons |   3.199876   .7232294     4.42   0.000     1.750492     4.64926
------------------------------------------------------------------------------

. regress elecparties logmag10 proximity prox_prescandidate fragmentation2 concentration frag2_conc;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  6,    55) =    6.21
       Model |  179.527153     6  29.9211921           Prob > F      =  0.0001
    Residual |   265.11918    55  4.82034874           R-squared     =  0.4038
-------------+------------------------------           Adj R-squared =  0.3387
       Total |  444.646333    61  7.28928415           Root MSE      =  2.1955

------------------------------------------------------------------------------
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    logmag10 |   .1225665   .4112857     0.30   0.767    -.7016684    .9468015
   proximity |  -3.333555   1.133104    -2.94   0.005    -5.604346   -1.062765
prox_presc~e |   .9645177   .4184274     2.31   0.025     .1259706    1.803065
fragmentat~2 |   -.060002   .0226439    -2.65   0.010    -.1053814   -.0146226
concentrat~n |    .062627     .39428     0.16   0.874    -.7275278    .8527819
  frag2_conc |   .0399985   .0121626     3.29   0.002     .0156241    .0643729
       _cons |   3.290627   .7352591     4.48   0.000     1.817135    4.764119
------------------------------------------------------------------------------

. regress elecparties logmag10 proximity prox_prescandidate fragmentation2 concentration frag2_conc, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    3.25
                                                       Prob > F      =  0.0084
                                                       R-squared     =  0.4038
                                                       Root MSE      =  2.1955

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    logmag10 |   .1225665   .4792447     0.26   0.799    -.8378614    1.082994
   proximity |  -3.333555   1.295311    -2.57   0.013    -5.929416   -.7376948
prox_presc~e |   .9645177   .3364363     2.87   0.006     .2902844    1.638751
fragmentat~2 |   -.060002   .0264653    -2.27   0.027    -.1130397   -.0069643
concentrat~n |    .062627   .4020074     0.16   0.877    -.7430138    .8682679
  frag2_conc |   .0399985   .0185385     2.16   0.035     .0028465    .0771505
       _cons |   3.290627   .7418187     4.44   0.000     1.803989    4.777265
------------------------------------------------------------------------------

. regress elecparties logmag proximity prox_prescandidate fragmentation2 concentration frag_conc;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  6,    55) =    5.07
       Model |  158.258065     6  26.3763441           Prob > F      =  0.0003
    Residual |  286.388268    55  5.20705942           R-squared     =  0.3559
-------------+------------------------------           Adj R-squared =  0.2857
       Total |  444.646333    61  7.28928415           Root MSE      =  2.2819

------------------------------------------------------------------------------
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      logmag |   .0094674   .1868645     0.05   0.960    -.3650175    .3839523
   proximity |  -3.738375   1.163223    -3.21   0.002    -6.069527   -1.407223
prox_presc~e |   1.048508   .4330349     2.42   0.019     .1806863    1.916329
fragmentat~2 |  -.0384329   .0212473    -1.81   0.076    -.0810134    .0041476
concentrat~n |  -.4015387   .6011805    -0.67   0.507    -1.606331    .8032538
   frag_conc |   .3059595   .1256683     2.43   0.018     .0541147    .5578044
       _cons |   3.199854   .7636444     4.19   0.000     1.669477    4.730232
------------------------------------------------------------------------------

. regress elecparties logmag proximity prox_prescandidate fragmentation2 concentration frag_conc, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    2.86
                                                       Prob > F      =  0.0169
                                                       R-squared     =  0.3559
                                                       Root MSE      =  2.2819

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      logmag |   .0094674   .2565358     0.04   0.971    -.5046419    .5235766
   proximity |  -3.738375   1.337572    -2.79   0.007    -6.418928   -1.057822
prox_presc~e |   1.048508   .3521886     2.98   0.004      .342706    1.754309
fragmentat~2 |  -.0384329   .0285059    -1.35   0.183      -.09556    .0186942
concentrat~n |  -.4015387   .9688524    -0.41   0.680    -2.343162    1.540085
   frag_conc |   .3059595   .2364916     1.29   0.201    -.1679803    .7798993
       _cons |   3.199854   .7232726     4.42   0.000     1.750383    4.649325
------------------------------------------------------------------------------

. regress elecparties logmag proximity prox_prescandidate fragmentation2 concentration frag2_conc;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  6,    55) =    6.21
       Model |   179.52742     6  29.9212366           Prob > F      =  0.0001
    Residual |  265.118913    55  4.82034388           R-squared     =  0.4038
-------------+------------------------------           Adj R-squared =  0.3387
       Total |  444.646333    61  7.28928415           Root MSE      =  2.1955

------------------------------------------------------------------------------
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      logmag |   .0532425   .1786054     0.30   0.767    -.3046907    .4111757
   proximity |  -3.333537   1.133106    -2.94   0.005    -5.604332   -1.062743
prox_presc~e |   .9645157   .4184261     2.31   0.025      .125971     1.80306
fragmentat~2 |  -.0600029    .022644    -2.65   0.010    -.1053826   -.0146233
concentrat~n |    .062632   .3942665     0.16   0.874    -.7274956    .8527597
  frag2_conc |   .0399989   .0121625     3.29   0.002     .0156246    .0643732
       _cons |   3.290592   .7352735     4.48   0.000     1.817071    4.764113
------------------------------------------------------------------------------

. regress elecparties logmag proximity prox_prescandidate fragmentation2 concentration frag2_conc, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    3.25
                                                       Prob > F      =  0.0084
                                                       R-squared     =  0.4038
                                                       Root MSE      =  2.1955

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      logmag |   .0532425   .2081064     0.26   0.799     -.363812     .470297
   proximity |  -3.333537   1.295329    -2.57   0.013    -5.929435   -.7376401
prox_presc~e |   .9645157   .3364418     2.87   0.006     .2902712     1.63876
fragmentat~2 |  -.0600029   .0264651    -2.27   0.027    -.1130402   -.0069657
concentrat~n |    .062632   .4019546     0.16   0.877     -.742903     .868167
  frag2_conc |   .0399989   .0185381     2.16   0.035     .0028478      .07715
       _cons |   3.290592   .7418524     4.44   0.000     1.803886    4.777297
------------------------------------------------------------------------------

. regress elecparties logmag10 proximity prox_prescandidate fragmentation2 concentration frag2_conc, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    3.25
                                                       Prob > F      =  0.0084
                                                       R-squared     =  0.4038
                                                       Root MSE      =  2.1955

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    logmag10 |   .1225665   .4792447     0.26   0.799    -.8378614    1.082994
   proximity |  -3.333555   1.295311    -2.57   0.013    -5.929416   -.7376948
prox_presc~e |   .9645177   .3364363     2.87   0.006     .2902844    1.638751
fragmentat~2 |   -.060002   .0264653    -2.27   0.027    -.1130397   -.0069643
concentrat~n |    .062627   .4020074     0.16   0.877    -.7430138    .8682679
  frag2_conc |   .0399985   .0185385     2.16   0.035     .0028465    .0771505
       _cons |   3.290627   .7418187     4.44   0.000     1.803989    4.777265
------------------------------------------------------------------------------

. *     ****************************************************************  *;
. *       Could not replicate - but last equation is closest.             *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *                               Model 4                                 *;
. *     ****************************************************************  *;
. regress  elecparties logmag10 proximity prox_prescandidate fragmentation concentration logmag10_frag_conc;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  6,    55) =    7.65
       Model |  202.214232     6   33.702372           Prob > F      =  0.0000
    Residual |  242.432101    55  4.40785638           R-squared     =  0.4548
-------------+------------------------------           Adj R-squared =  0.3953
       Total |  444.646333    61  7.28928415           Root MSE      =  2.0995

------------------------------------------------------------------------------
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    logmag10 |  -2.897178   .7095446    -4.08   0.000    -4.319137   -1.475219
   proximity |   -2.73105   1.110519    -2.46   0.017     -4.95658   -.5055201
prox_presc~e |    1.07876   .3973962     2.71   0.009     .2823604     1.87516
fragmentat~n |  -.3048807   .1344562    -2.27   0.027    -.5743369   -.0354245
concentrat~n |   .4859211   .3371831     1.44   0.155     -.189809    1.161651
~0_frag_conc |   .3129802   .0752553     4.16   0.000     .1621651    .4637953
       _cons |   4.205936   .7752229     5.43   0.000     2.652354    5.759517
------------------------------------------------------------------------------

. regress  elecparties logmag10 proximity prox_prescandidate fragmentation concentration logmag10_frag_conc, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    3.62
                                                       Prob > F      =  0.0042
                                                       R-squared     =  0.4548
                                                       Root MSE      =  2.0995

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    logmag10 |  -2.897178   .8692302    -3.33   0.002    -4.639154   -1.155202
   proximity |   -2.73105   .9791297    -2.79   0.007    -4.693269   -.7688301
prox_presc~e |    1.07876   .3002913     3.59   0.001      .476963    1.680557
fragmentat~n |  -.3048807   .1314777    -2.32   0.024    -.5683679   -.0413936
concentrat~n |   .4859211   .3097606     1.57   0.122     -.134853    1.106695
~0_frag_conc |   .3129802   .1017551     3.08   0.003     .1090583     .516902
       _cons |   4.205936   .9469161     4.44   0.000     2.308273    6.103598
------------------------------------------------------------------------------

. regress  elecparties logmag10 proximity prox_prescandidate fragmentation2 concentration logmag10_frag_conc;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  6,    55) =    6.85
       Model |  190.186572     6  31.6977619           Prob > F      =  0.0000
    Residual |  254.459761    55  4.62654112           R-squared     =  0.4277
-------------+------------------------------           Adj R-squared =  0.3653
       Total |  444.646333    61  7.28928415           Root MSE      =  2.1509

------------------------------------------------------------------------------
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    logmag10 |  -2.655826   .7186579    -3.70   0.001    -4.096049   -1.215604
   proximity |  -2.993619    1.12615    -2.66   0.010    -5.250475   -.7367635
prox_presc~e |   1.087002   .4071604     2.67   0.010     .2710345     1.90297
fragmentat~2 |  -.0187156   .0123438    -1.52   0.135     -.043453    .0060218
concentrat~n |   .3489759   .3389385     1.03   0.308    -.3302721    1.028224
~0_frag_conc |   .2810655   .0762926     3.68   0.001     .1281718    .4339592
       _cons |   3.750365   .7459683     5.03   0.000     2.255411    5.245319
------------------------------------------------------------------------------

. regress  elecparties logmag10 proximity prox_prescandidate fragmentation2 concentration logmag10_frag_conc, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    3.31
                                                       Prob > F      =  0.0075
                                                       R-squared     =  0.4277
                                                       Root MSE      =  2.1509

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    logmag10 |  -2.655826   .8149772    -3.26   0.002    -4.289077   -1.022576
   proximity |  -2.993619    1.07426    -2.79   0.007    -5.146484    -.840755
prox_presc~e |   1.087002   .3151632     3.45   0.001     .4554011    1.718603
fragmentat~2 |  -.0187156   .0083292    -2.25   0.029    -.0354076   -.0020236
concentrat~n |   .3489759   .2810569     1.24   0.220    -.2142748    .9122265
~0_frag_conc |   .2810655   .1018897     2.76   0.008      .076874     .485257
       _cons |   3.750365   .8134947     4.61   0.000     2.120085    5.380645
------------------------------------------------------------------------------

. regress  elecparties logmag10 proximity prox_prescandidate fragmentation2 concentration logmag10_frag2_conc;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  6,    55) =    7.00
       Model |  192.589694     6  32.0982823           Prob > F      =  0.0000
    Residual |  252.056639    55  4.58284799           R-squared     =  0.4331
-------------+------------------------------           Adj R-squared =  0.3713
       Total |  444.646333    61  7.28928415           Root MSE      =  2.1408

------------------------------------------------------------------------------
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    logmag10 |  -1.850687   .5358367    -3.45   0.001    -2.924528   -.7768462
   proximity |  -2.999924   1.119139    -2.68   0.010    -5.242729   -.7571191
prox_presc~e |    1.16321   .4051809     2.87   0.006      .351209     1.97521
fragmentat~2 |    -.03289   .0145685    -2.26   0.028    -.0620859   -.0036942
concentrat~n |   .7618867   .3131373     2.43   0.018     .1343455    1.389428
logma~2_conc |    .030739   .0081498     3.77   0.000     .0144064    .0470716
       _cons |   3.306544   .7159505     4.62   0.000     1.871747     4.74134
------------------------------------------------------------------------------

. regress  elecparties logmag10 proximity prox_prescandidate fragmentation2 concentration logmag10_frag2_conc, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    3.20
                                                       Prob > F      =  0.0092
                                                       R-squared     =  0.4331
                                                       Root MSE      =  2.1408

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    logmag10 |  -1.850687   .5759302    -3.21   0.002    -3.004877    -.696497
   proximity |  -2.999924   1.027508    -2.92   0.005    -5.059097   -.9407519
prox_presc~e |    1.16321   .3436662     3.38   0.001     .4744871    1.851932
fragmentat~2 |    -.03289   .0128348    -2.56   0.013    -.0586115   -.0071686
concentrat~n |   .7618867   .2742784     2.78   0.007     .2122204    1.311553
logma~2_conc |    .030739    .011031     2.79   0.007     .0086323    .0528456
       _cons |   3.306544   .7520195     4.40   0.000     1.799463    4.813624
------------------------------------------------------------------------------

. regress  elecparties logmag proximity prox_prescandidate fragmentation concentration logmag_frag_conc;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  6,    55) =    7.64
       Model |  202.189332     6   33.698222           Prob > F      =  0.0000
    Residual |  242.457001    55  4.40830911           R-squared     =  0.4547
-------------+------------------------------           Adj R-squared =  0.3952
       Total |  444.646333    61  7.28928415           Root MSE      =  2.0996

------------------------------------------------------------------------------
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      logmag |  -1.257987   .3081541    -4.08   0.000    -1.875541    -.640432
   proximity |  -2.731363   1.110571    -2.46   0.017    -4.956996   -.5057293
prox_presc~e |   1.078811   .3974147     2.71   0.009     .2823743    1.875248
fragmentat~n |  -.3048417   .1344653    -2.27   0.027    -.5743163   -.0353672
concentrat~n |   .4858173   .3372061     1.44   0.155    -.1899588    1.161593
logmag_fra~c |   .1359021    .032684     4.16   0.000     .0704018    .2014024
       _cons |   4.206058    .775304     5.43   0.000     2.652314    5.759801
------------------------------------------------------------------------------

. regress  elecparties logmag proximity prox_prescandidate fragmentation concentration logmag_frag_conc, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    3.62
                                                       Prob > F      =  0.0042
                                                       R-squared     =  0.4547
                                                       Root MSE      =  2.0996

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      logmag |  -1.257987   .3774864    -3.33   0.002    -2.014486    -.501487
   proximity |  -2.731363   .9791604    -2.79   0.007    -4.693644   -.7690816
prox_presc~e |   1.078811     .30031     3.59   0.001     .4769765    1.680646
fragmentat~n |  -.3048417   .1314802    -2.32   0.024     -.568334   -.0413495
concentrat~n |   .4858173   .3097684     1.57   0.123    -.1349724    1.106607
logmag_fra~c |   .1359021   .0441921     3.08   0.003     .0473391     .224465
       _cons |   4.206058    .947003     4.44   0.000     2.308221    6.103894
------------------------------------------------------------------------------

. regress  elecparties logmag proximity prox_prescandidate fragmentation2 concentration logmag_frag_conc;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  6,    55) =    6.85
       Model |   190.16346     6    31.69391           Prob > F      =  0.0000
    Residual |  254.482873    55  4.62696133           R-squared     =  0.4277
-------------+------------------------------           Adj R-squared =  0.3652
       Total |  444.646333    61  7.28928415           Root MSE      =   2.151

------------------------------------------------------------------------------
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      logmag |  -1.153172   .3121094    -3.69   0.001    -1.778653   -.5276907
   proximity |  -2.993915   1.126196    -2.66   0.010    -5.250862    -.736967
prox_presc~e |   1.087049    .407177     2.67   0.010     .2710484     1.90305
fragmentat~2 |  -.0187117   .0123445    -1.52   0.135    -.0434506    .0060272
concentrat~n |   .3489027   .3389624     1.03   0.308    -.3303932    1.028199
logmag_fra~c |   .1220413   .0331342     3.68   0.001     .0556389    .1884437
       _cons |   3.750502   .7460397     5.03   0.000     2.255405    5.245599
------------------------------------------------------------------------------

. regress  elecparties logmag proximity prox_prescandidate fragmentation2 concentration logmag_frag_conc, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    3.31
                                                       Prob > F      =  0.0075
                                                       R-squared     =  0.4277
                                                       Root MSE      =   2.151

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      logmag |  -1.153172    .353926    -3.26   0.002    -1.862456   -.4438882
   proximity |  -2.993915   1.074284    -2.79   0.007    -5.146829   -.8410005
prox_presc~e |   1.087049   .3151811     3.45   0.001     .4554122    1.718686
fragmentat~2 |  -.0187117   .0083294    -2.25   0.029    -.0354041   -.0020193
concentrat~n |   .3489027   .2810791     1.24   0.220    -.2143925    .9121978
logmag_fra~c |   .1220413   .0442501     2.76   0.008     .0333621    .2107205
       _cons |   3.750502    .813558     4.61   0.000     2.120095    5.380909
------------------------------------------------------------------------------

. gen logmag_frag2_conc = logmag*fragmentation2*concentration;

. label var logmag_frag2_conc "logmag*fragmentation2*concentration";

. regress  elecparties logmag proximity prox_prescandidate fragmentation2 concentration logmag_frag2_conc;

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  6,    55) =    7.00
       Model |  192.587177     6  32.0978629           Prob > F      =  0.0000
    Residual |  252.059156    55  4.58289374           R-squared     =  0.4331
-------------+------------------------------           Adj R-squared =  0.3713
       Total |  444.646333    61  7.28928415           Root MSE      =  2.1408

------------------------------------------------------------------------------
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      logmag |  -.8036861   .2327009    -3.45   0.001    -1.270029   -.3373432
   proximity |  -3.000108   1.119136    -2.68   0.010    -5.242906    -.757309
prox_presc~e |   1.163278   .4051814     2.87   0.006     .3512762    1.975279
fragmentat~2 |  -.0328866   .0145681    -2.26   0.028    -.0620818   -.0036915
concentrat~n |   .7616531   .3131386     2.43   0.018     .1341094    1.389197
logmag_fra.. |   .0133498   .0035395     3.77   0.000     .0062565    .0204431
       _cons |   3.306774   .7159788     4.62   0.000      1.87192    4.741628
------------------------------------------------------------------------------

. regress  elecparties logmag proximity prox_prescandidate fragmentation2 concentration logmag_frag2_conc, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    3.20
                                                       Prob > F      =  0.0092
                                                       R-squared     =  0.4331
                                                       Root MSE      =  2.1408

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      logmag |  -.8036861   .2501058    -3.21   0.002    -1.304909    -.302463
   proximity |  -3.000108   1.027551    -2.92   0.005    -5.059366   -.9408492
prox_presc~e |   1.163278    .343666     3.38   0.001     .4745558       1.852
fragmentat~2 |  -.0328866   .0128337    -2.56   0.013    -.0586059   -.0071674
concentrat~n |   .7616531   .2742396     2.78   0.007     .2120647    1.311242
logmag_fra.. |   .0133498   .0047909     2.79   0.007     .0037487    .0229509
       _cons |   3.306774   .7520672     4.40   0.000     1.799598     4.81395
------------------------------------------------------------------------------

. *     ****************************************************************  *;
. *      Again, not possible to replicate despite multiple configurations *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *       These are the specifications that get us the closest to the     *;
. *       results shown in Table 1.                                       *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *                               Model 1                                 *;
. *     ****************************************************************  *;
. regress elecparties logmag10 proximity prox_prescandidate, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  3,    58) =    3.56
                                                       Prob > F      =  0.0196
                                                       R-squared     =  0.1971
                                                       Root MSE      =   2.481

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    logmag10 |  -.2376563   .3265431    -0.73   0.470    -.8913033    .4159907
   proximity |  -4.554452   1.435919    -3.17   0.002    -7.428755   -1.680148
prox_presc~e |   1.475975   .4840426     3.05   0.003     .5070588    2.444892
       _cons |   4.117662   .9155262     4.50   0.000     2.285037    5.950287
------------------------------------------------------------------------------

. *     ****************************************************************  *;
. *                               Model 2                                 *;
. *     ****************************************************************  *;
. regress elecparties fragmentation2 concentration frag2_conc, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  3,    58) =    4.50
                                                       Prob > F      =  0.0066
                                                       R-squared     =  0.3063
                                                       Root MSE      =  2.3061

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
fragmentat~2 |  -.0669476   .0224225    -2.99   0.004     -.111831   -.0220642
concentrat~n |   .1474626   .2913227     0.51   0.615    -.4356831    .7306083
  frag2_conc |   .0441266   .0156805     2.81   0.007     .0127386    .0755145
       _cons |   2.523775   .2135138    11.82   0.000      2.09638    2.951169
------------------------------------------------------------------------------

. *     ****************************************************************  *;
. *                               Model 3                                 *;
. *     ****************************************************************  *;
. regress elecparties logmag10 proximity prox_prescandidate fragmentation2 concentration frag2_conc, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    3.25
                                                       Prob > F      =  0.0084
                                                       R-squared     =  0.4038
                                                       Root MSE      =  2.1955

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    logmag10 |   .1225665   .4792447     0.26   0.799    -.8378614    1.082994
   proximity |  -3.333555   1.295311    -2.57   0.013    -5.929416   -.7376948
prox_presc~e |   .9645177   .3364363     2.87   0.006     .2902844    1.638751
fragmentat~2 |   -.060002   .0264653    -2.27   0.027    -.1130397   -.0069643
concentrat~n |    .062627   .4020074     0.16   0.877    -.7430138    .8682679
  frag2_conc |   .0399985   .0185385     2.16   0.035     .0028465    .0771505
       _cons |   3.290627   .7418187     4.44   0.000     1.803989    4.777265
------------------------------------------------------------------------------

. *     ****************************************************************  *;
. *                               Model 4                                 *;
. *     ****************************************************************  *;
. regress elecparties logmag10 proximity prox_prescandidate fragmentation2 concentration logmag10_frag2_conc, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  6,    55) =    3.20
                                                       Prob > F      =  0.0092
                                                       R-squared     =  0.4331
                                                       Root MSE      =  2.1408

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    logmag10 |  -1.850687   .5759302    -3.21   0.002    -3.004877    -.696497
   proximity |  -2.999924   1.027508    -2.92   0.005    -5.059097   -.9407519
prox_presc~e |    1.16321   .3436662     3.38   0.001     .4744871    1.851932
fragmentat~2 |    -.03289   .0128348    -2.56   0.013    -.0586115   -.0071686
concentrat~n |   .7618867   .2742784     2.78   0.007     .2122204    1.311553
logmag10_f.. |    .030739    .011031     2.79   0.007     .0086323    .0528456
       _cons |   3.306544   .7520195     4.40   0.000     1.799463    4.813624
------------------------------------------------------------------------------

. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *                       Correct specifications                          *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *     ****************************************************************  *;
. *                               Model 1                                 *;
. *     ****************************************************************  *;
. regress elecparties logmag10 proximity prescandidate prox_prescandidate, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  4,    57) =    4.18
                                                       Prob > F      =  0.0049
                                                       R-squared     =  0.4552
                                                       Root MSE      =  2.0615

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    logmag10 |   .0030726   .1955875     0.02   0.988    -.3885846    .3947299
   proximity |  -1.515446   .9842114    -1.54   0.129    -3.486295    .4554034
prescandid~e |   1.164165   .4100176     2.84   0.006     .3431188    1.985211
prox_presc~e |   .0318694   .5958822     0.05   0.958    -1.161364    1.225103
       _cons |    1.50789   .4794349     3.15   0.003      .547838    2.467942
------------------------------------------------------------------------------

. *     ****************************************************************  *;
. *                               Model 2                                 *;
. *     ****************************************************************  *;
. regress elecparties fragmentation fragmentation2 concentration frag_conc, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  4,    57) =    3.78
                                                       Prob > F      =  0.0086
                                                       R-squared     =  0.3497
                                                       Root MSE      =  2.2522

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
fragmentat~n |   -1.69104   .7853143    -2.15   0.036    -3.263605    -.118475
fragmentat~2 |   .0992522   .0711515     1.39   0.168    -.0432263    .2417306
concentrat~n |   .2524271   .9101418     0.28   0.783      -1.5701    2.074955
   frag_conc |   .3848035   .1663154     2.31   0.024     .0517627    .7178444
       _cons |   4.446461   .9850404     4.51   0.000     2.473952     6.41897
------------------------------------------------------------------------------

. *     ****************************************************************  *;
. *                               Model 3                                 *;
. *     ****************************************************************  *;
. regress elecparties logmag10 proximity prescandidate prox_prescandidate fragmentation concentration frag_conc, robust
> ;

Regression with robust standard errors                 Number of obs =      62
                                                       F(  7,    54) =    3.52
                                                       Prob > F      =  0.0035
                                                       R-squared     =  0.5915
                                                       Root MSE      =  1.8341

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    logmag10 |     .32386   .2959022     1.09   0.279    -.2693882    .9171082
   proximity |  -.9595831   .8638016    -1.11   0.272    -2.691401    .7722349
prescandid~e |   1.080028   .5362747     2.01   0.049     .0048618    2.155194
prox_presc~e |  -.1634799   .6177587    -0.26   0.792    -1.402011    1.075052
fragmentat~n |  -.4550665   .2538147    -1.79   0.079    -.9639344    .0538013
concentrat~n |  -.9126356   .4225038    -2.16   0.035    -1.759705   -.0655666
   frag_conc |   .3659902   .1635857     2.24   0.029     .0380207    .6939597
       _cons |   1.859913    .752276     2.47   0.017     .3516901    3.368135
------------------------------------------------------------------------------

. *     ****************************************************************  *;
. *                               Model 4                                 *;
. *     ****************************************************************  *;
. regress elecparties logmag10 proximity prescandidate prox_prescandidate fragmentation concentration
> frag_conc logmag10_frag logmag10_conc logmag10_frag_conc, robust;

Regression with robust standard errors                 Number of obs =      62
                                                       F( 10,    51) =    4.39
                                                       Prob > F      =  0.0002
                                                       R-squared     =  0.6908
                                                       Root MSE      =  1.6418

------------------------------------------------------------------------------
             |               Robust
 elecparties |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    logmag10 |  -.8498961   1.193188    -0.71   0.480     -3.24532    1.545528
   proximity |  -.2259049   .8774362    -0.26   0.798    -1.987432    1.535622
prescandid~e |   1.038526   .4829355     2.15   0.036     .0689929     2.00806
prox_presc~e |  -.0840906   .5706311    -0.15   0.883     -1.22968    1.061499
fragmentat~n |  -.6497941   .3319545    -1.96   0.056     -1.31622    .0166323
concentrat~n |  -.0599409   .5795809    -0.10   0.918    -1.223498    1.103616
   frag_conc |   .2194089   .1416935     1.55   0.128    -.0650527    .5038705
logmag10_f~g |    .039693   .2514025     0.16   0.875    -.4650185    .5444046
logmag10_c~c |  -.8953552   .7152575    -1.25   0.216    -2.331295    .5405841
~0_frag_conc |    .287927   .1620678     1.78   0.082    -.0374378    .6132917
       _cons |   2.182352   .7266127     3.00   0.004     .7236166    3.641088
------------------------------------------------------------------------------

. *     ****************************************************************  *;
. *                       End of basic replication                        *;
. *     ****************************************************************  *;
. log close;
       log:  Z:\interactionmodels\replication\electoralparties_replication.log
  log type:  text
 closed on:  10 Jan 2007, 19:59:41
-----------------------------------------------------------------------------------------------------------------------
